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Replacing missing values in data analysis by estimating values from the available data.
The most commonly used statistical measure of variation.
Consists of editing, coding, data entry, and data cleaning.
The middle value in a distribution.
Graphic depiction of a bivariate distribution.
A graphic display of a univariate distribution.
The value or category in a distribution with the highest frequency.
Detecting and resolving errors in coding and data entry.
A cleaning technique that can be programmed for automatic detection in computer-assisted interviewing.
Indicates how much the dependent variable changes for every one-unit increase in the independent variable.
The numerical difference between an observed value and the value predicted by the regression line.
Documentation for a data file that usually contains the question wording and responses codes for each variable.